Biomimetic seal whisker sensors for high-sensitivity wake detection and localization
- Biao Geng 1, Qian Xue 1, Zhiheng Xu 2, Winston Jiang 1, Jonathan Sullo 3, Cadence Brunecz 3, Jessica Shang 3, Xudong Zheng 1
- Biao Geng 1, Qian Xue 1, Zhiheng Xu 2
- 1Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States of America.
- 2AMPrint Center, Rochester Institute of Technology, Rochester, NY 14623, United States of America.
- 3Department of Mechanical Engineering, University of Rochester, Rochester, NY 14627, United States of America.
- 0Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States of America.
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View abstract on PubMed
Summary
This summary is machine-generated.Engineers developed a low-cost, whisker-inspired sensor for underwater flow perception. This biomimetic technology mimics pinniped whiskers to detect subtle hydrodynamic disturbances, enabling advanced sensing and tracking.
Area Of Science
- Biomimetics and Sensor Technology
- Hydrodynamics and Fluid Mechanics
- Robotics and Underwater Systems
Background
- Pinnipeds possess highly sensitive whiskers capable of detecting minute hydrodynamic disturbances for navigation and prey detection.
- Existing engineering solutions lack the passive flow perception capabilities found in biological systems.
- There is a need for cost-effective, biomimetic sensors for underwater spatial flow perception.
Purpose Of The Study
- To design and fabricate a low-cost, whisker-inspired sensor array for underwater sensing and tracking.
- To replicate the hydrodynamic disturbance detection capabilities of pinniped whiskers.
- To demonstrate the feasibility of artificial whisker sensors for passive flow perception.
Main Methods
- Integration of metal foil strain gages within a polydimethylsiloxane soft base.
- Development of a 3D-printed biomimetic seal whisker model.
- Testing sensor performance, including sensitivity, linearity, repeatability, and dynamic response.
- Deployment of a nine-sensor array with an artificial neural network for source localization.
Main Results
- The sensor exhibits low self-noise and high sensitivity, detecting flow speeds as low as 0.5 mm s⁻¹.
- Dual strain gages enable precise measurement of whisker bending amplitude and direction.
- The sensor demonstrates excellent linearity, repeatability, fatigue life, and low-frequency dynamic performance.
- A nine-sensor array successfully predicted dipole source locations using an artificial neural network.
Conclusions
- Whisker-inspired sensors offer a feasible solution for robust underwater spatial flow perception.
- The developed sensor technology is cost-effective, easy to fabricate, and suitable for large-scale array deployment.
- This biomimetic approach advances passive flow perception for underwater sensing and tracking applications.
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